Jim Mlodgenski

Recent PostgreSQL releases introduced transformative capabilities for logical replication and partitioning, including filtering, parallel apply, sequence replication, and improved planning for partition-heavy workloads. These features are powerful, but tuning them for a specific environment remains complex.

Amazon DocumentDB (with MongoDB compatibility) is a serverless, fully managed, MongoDB API-compatible document database service. In this session, take a deep dive into the most exciting features Amazon DocumentDB offers including serverless, enhanced compression, performance upgrades, and the latest query APIs.

Running self-managed document databases at scale introduces significant operational burden, version lock-in, and rising infrastructure costs. Amazon DocumentDB (with MongoDB compatibility) addresses these challenges with a fully managed, highly available service.

A challange for many managers is to remember that first and foremost their job is to ensure the success of their team. It is not uncommon for managers to get wrapped up in organizational structures of "tasks" versus the more powerful, effective and important mentorship.

In this chalk talk, explore key design principles for building cost-effective generative AI applications. Learn about model choice and optimization, chunking, caching and prompt engineering techniques, focusing on strategies to optimize the Retrieval Augmented Generation (RAG) architecture.

Do you want to build an MCP server for your application running on Amazon Aurora where you control the access without handing full control to an LLM and the AI agents simply call it?

Amazon Aurora is a cloud-native relational database with unparalleled high performance and availability at global scale. Hundreds of thousands of organizations trust Aurora for their workloads today.

Navigating PostgreSQL major version upgrades in Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL environments requires careful planning and understanding of available options. This session provides a comprehensive guide to upgrade paths, covering both in-place and replication-based strategies.

PostgreSQL has a rich history at Amazon from wide spread usage across the company to a number AWS offerings. In this session, we will discuss how Amazon started its journey into PostgreSQL including the mass migration off of Oracle and the origins of Amazon RDS for PostgreSQL.

Want to build a generative AI application with PostgreSQL but unsure how to get started? In this talk, we will learn the essential tools for creating your own generative AI applications, including LangChain and pgvector.

PostgreSQL has a rich history at Amazon from wide spread usage across the company to a number AWS offerings. In this session, we will discuss how Amazon started its journey into PostgreSQL including the mass migration off of Oracle and the origins of Amazon RDS for PostgreSQL.

In this chalk talk, explore key design considerations for building cost-effective generative AI applications. Learn about model selection and optimization techniques, focusing on strategies for optimizing the Retrieval Augmented Generation (RAG) architecture.

Do you want to build a generative AI application with Amazon Aurora but are unsure of how to get started? In this code talk, learn essential tools for creating your own generative AI applications, including LangChain and pgvector.

In this chalk talk, learn about the latest performance improvements to Amazon RDS Multi-AZ with two readable standby deployment options, also known as Amazon RDS Multi-AZ DB clusters. Multi-AZ DB clusters offer up to 2x improved write latency, failover times typically under 35 seconds, and additional read capacity.

Want to build a generative AI application with Amazon Aurora but unsure how to get started? In this code talk, learn essential tools for creating your own generative AI applications, including LangChain and pgvector.

PostgreSQL’s extensible architecture is one of its superpowers, allowing people to plug in additional capabilities to meet their needs. However, building those extensions and deploying them to production is complex and can lead to instability issues for the first-time extension developer.

In this chalk talk, discover the factors affecting application resilience and learn about best practices that allow you to deploy workloads with enhanced resilience. Dive deeper into application design patterns, connection proxy mechanisms, and database tuning.

One reason for PostgreSQL’s growing popularity is its feature-rich extensions. However, installing extensions can introduce software defects that can corrupt data or crash a database.

Many major organizations like Amazon have moved their fleets of Oracle database to PostgreSQL, and many more are embarking on the change every day. As part of these migrations, a distinct pattern of mistakes has emerged that lead to project delays, performance issues, and frustration. These...

PostgreSQL is an open-source database that is growing in popularity because of its rich features, vibrant Community Heroes (AWS), and compatibility with commercial databases. This session covers key Amazon RDS for PostgreSQL functionality, availability, and management.

As more and more people are moving to PostgreSQL from Oracle, a pattern of mistakes is emerging. They can be caused by the tools being used or just by not understanding how PostgreSQL is different than Oracle.

In this session, we provide an overview of the PostgreSQL options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service; and Amazon Aurora, a PostgreSQL-compatible database with up to three times the performance of standard PostgreSQL.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Amazon RDS supports six popular database engines.

Amazon Aurora is a relational database service for OLTP workloads offered as part of Amazon Web Services (AWS). In this talk, we describe how Aurora brings a novel architecture to the relational database by pushing redo processing to a multi-tenant scale-out storage service, purpose-built for Aurora.

PostgreSQL databases are supported on Amazon Relational Database Service (RDS) since 2013. Amazon RDS provides an ideal platform to run your PostgreSQL databases - be it a mission critical OLTP or a data warehouse or an analytics database or databases for test & development.

Amazon Aurora with PostgreSQL Compatibility is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. We review the functionality in order to understand the architectural...

When developing against a PostgreSQL database, many times you will use SQL from your applications, but sometimes you need more. You might need to run some of your logic on the database server for performance or you may want to just create some server-side functions to simplify your application...

As more and more people are moving to PostgreSQL from Oracle, a pattern of mistakes is emerging. They can be caused by the tools being used or just by not understanding how PostgreSQL is different than Oracle. In this talk, we will discuss the top mistakes people generally make when moving to...

Amazon Aurora with PostgreSQL compatibility is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases.

Why after 30 years of active development is PostgreSQL the DBMS of the Year for the second year in a row? Why is every aspect of the PostgreSQL community from global conferences to local user groups growing at phenomenal rates?